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Deepseek Jobs in Bothell, WA (NOW HIRING)

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

Software Engineer II- AI/ML, AWS Neuron

Seattle, WA · On-site

$111K - $151K/yr

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

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Deepseek information

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, and significant experience, and may involve high-stakes environments or freelance consulting in fields like technology or finance.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with neural networks. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud computing platforms and GPU acceleration is typically required. Strong problem-solving skills, creativity, and effective communication help you design novel models and collaborate with multidisciplinary teams. These skills enable the development and deployment of advanced AI solutions that drive innovation and real-world impact.

How much are DeepSeek employees paid?

Salaries for DeepSeek employees vary depending on the role, experience, and location. Entry-level positions typically start around industry standard rates, while more experienced roles can earn higher compensation. Specific salary details are not publicly disclosed and may be discussed during the hiring process.

What are the typical collaboration patterns for Deep Learning Research Engineers at Deepseek, and how do they work with cross-functional teams?

Deep Learning Research Engineers at Deepseek frequently collaborate with data scientists, software engineers, and product managers to develop and optimize machine learning models. They participate in regular team meetings to align on project goals, share research findings, and integrate new algorithms into production systems. Effective communication is crucial, as these engineers often translate complex research concepts into actionable tasks for engineering teams. This collaborative environment fosters innovation and ensures that research outcomes can be successfully deployed within real-world applications.

Can I make money with DeepSeek AI?

DeepSeek AI is a technology platform that may offer opportunities for individuals to earn income through tasks such as data labeling, AI training, or project-based work. Earnings depend on the specific role, skills, and the company's payment structure. Job seekers should review the company's job postings and requirements for detailed information on compensation.

What are Deepseek engineers?

Deepseek engineers are professionals who specialize in developing and implementing advanced artificial intelligence (AI) and machine learning solutions, often focusing on natural language processing and search technologies. They typically work for Deepseek, a company known for its work in large language models and AI-driven search capabilities. Their responsibilities include designing, training, and optimizing AI models, as well as integrating these solutions into products and services. Deepseek engineers often collaborate with data scientists and product teams to ensure the technology meets user needs and industry standards.

What is the difference between Deepseek vs Data Analyst?

AspectDeepseekData Analyst
Required CredentialsTypically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentPrimarily technical, involving data processing, algorithm development, and machine learning model trainingPrimarily analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, AI firms, and research institutions focusing on machine learning and AI solutionsUsed across various industries including finance, marketing, healthcare, and consulting for data-driven decision making

Deepseek focuses on developing AI and machine learning models, requiring technical expertise in algorithms and programming. Data Analysts interpret and visualize data to support business decisions. While both roles work with data, Deepseek is more technical and research-oriented, whereas Data Analysts focus on insights and reporting.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are popular job titles related to Deepseek jobs in Bothell, WA? For Deepseek jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Deepseek jobs? Cities near Bothell, WA with the most Deepseek job openings:
Infographic showing various Deepseek job openings in Bothell, WA as of June 2026, with employment types broken down into 38% Full Time, 35% Part Time, and 27% Temporary. Highlights an 100% In-person job distribution.